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ALGO - Lesson 5 (Regression, Classification, and Clustering)

Authored by Mel Mathew Palana

Computers

University

Used 1+ times

ALGO - Lesson 5 (Regression, Classification, and Clustering)
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34 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the full name of the case study?

Linear Regression in R: A Case Study

Regression in C: A Case Study

Linear Regression in R: A Case Project

Regression in R: A Research

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If x, then y (x → y)

Linear Regression

Classification

Clustering

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Linear Regression talks about the predictability of the answer:

- How correct/accurate can we predict it?

True

False

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Is this an example of linear regression?

For each fish meals eaten, the mercury level increases.

- It should be able to predict the mercury levels.

- If I eat 5 fish, what is the mercury level?

True

False

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Is a programming language used for statistical computing and graphical presentation to analyze and visualize data.

R

C

F

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A number that tells you how closely two variables are related to each other.

Correlation Coefficient

Coefficient Correlation

Correlation

Coefficient

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Relationship between 2 variables.

Correlation

Coefficient

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